Results for 'deep disagreeements'

606 found
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  1.  36
    Max Weber on Politics, Reason, and the Clash of Values and Approaches to Ethics.Manuel Dr Knoll - 2019 - Dîvân. Journal of Interdisciplinary Studies 24 (47):111–140.
    This article investigates how Max Weber’s theory of value conflict is connected to his realist understanding of politics and how he conceives the relation of politics and ethics. This investigation also covers Weber’s views on the argumentative limits of the social sciences and ethics. The center of Weber’s philosophy of science is constituted by his methodological thoughts on “ethical neutrality” (Wertfreiheit) of the social sciences. The first thesis of this paper contends that Weber’s theory of a clash of irreconcilable values (...)
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  2. Cognitive Dimensions of Talim: Evaluating Weaving Notation Through Cognitive Dimensions (CDs) Framework.Kaur Gagan Deep - 2016 - Cognitive Processing:0-0.
    The design process in Kashmiri carpet weaving is distributed over a number of actors and artifacts and is mediated by a weaving notation called talim. The script encodes entire design in practice-specific symbols. This encoded script is decoded and interpreted via design-specific conventions by weavers to weave the design embedded in it. The cognitive properties of this notational system are described in the paper employing cognitive dimensions (CDs) framework of Green (People and computers, Cambridge University Press, Cambridge, 1989) and Blackwell (...)
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  3. Banana Classification Using Deep Learning.Ahmed F. Al-Daour, Mohammed O. Al-Shawwa & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 3 (12):6-11.
    Abstract: Banana, fruit of the genus Musa, of the family Musaceae, one of the most important fruit crops of the world. The banana is grown in the tropics, and, though it is most widely consumed in those regions, it is valued worldwide for its flavour, nutritional value, and availability throughout the year. Cavendish, or dessert, bananas are most commonly eaten fresh, though they may be fried or mashed and chilled in pies or puddings. They may also be used to flavour (...)
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  4. Type of Grapefruit Classification Using Deep Learning.Mohammed M. Abu-Saqer, Samy S. Abu-Naser & Mohammed O. Al-Shawwa - 2020 - International Journal of Academic Information Systems Research (IJAISR) 4 (1):1-5.
    Fruit has been recognized as a good source of vitamins and minerals, and for their role in preventing vitamin C and vitamin A deficiencies. People who eat fruit as part of an overall healthy diet generally have a reduced risk of chronic diseases. Fruit are important sources of many nutrients, including potassium, fiber, vitamin C and folate (folic acid). One of important types of fruit is Grapefruit . Grapefruit is a tropical citrus fruit known its sweet and somewhat sour taste. (...)
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  5. Type of Tomato Classification Using Deep Learning.Mahmoud A. Alajrami & Samy S. Abu-Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):21-25.
    Abstract: Tomatoes are part of the major crops in food security. Tomatoes are plants grown in temperate and hot regions of South American origin from Peru, and then spread to most countries of the world. Tomatoes contain a lot of vitamin C and mineral salts, and are recommended for people with constipation, diabetes and patients with heart and body diseases. Studies and scientific studies have proven the importance of eating tomato juice in reducing the activity of platelets in diabetics, which (...)
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  6. Mango Classification Using Deep Learning.Alaa Soliman Abu Mettleq, Ibtesam M. Dheir, Abeer A. Elsharif & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):22-29.
    Abstract: In worldwide, there are several hundred cultivars of mango. Depending on the cultivar, mango fruit varies in size, shape, sweetness, skin color, and flesh color which may be pale yellow, gold, or orange. Where there are more than 15 types of manga. In this paper, two types Mango classification approach is presented with a dataset that contains approximately 1200 images. Convolutional Neural Network (CNN) algorithms, a deep learning technique extensively applied to image recognition was used, for this task. (...)
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  7. Empiricism Without Magic: Transformational Abstraction in Deep Convolutional Neural Networks.Cameron Buckner - 2018 - Synthese (12):1-34.
    In artificial intelligence, recent research has demonstrated the remarkable potential of Deep Convolutional Neural Networks (DCNNs), which seem to exceed state-of-the-art performance in new domains weekly, especially on the sorts of very difficult perceptual discrimination tasks that skeptics thought would remain beyond the reach of artificial intelligence. However, it has proven difficult to explain why DCNNs perform so well. In philosophy of mind, empiricists have long suggested that complex cognition is based on information derived from sensory experience, often appealing (...)
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  8. Avocado Classification Using Deep Learning.Mohammed N. Abu Alqumboz & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):30-34.
    Avocado is the fruit of the avocado tree, scientifically known as Persia Americana. This fruit is prized for its high nutrient value and is added to various dishes due to its good flavor and rich texture. It is the main ingredient in guacamole. These days, the avocado has become an incredibly popular food among health-conscious individuals. It’s often referred to as a superfood, which is not surprising given its health properties. Using a public dataset of 1,234 images of Avocado collected (...)
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  9. Lemon Classification Using Deep Learning.Jawad Yousif AlZamily & Samy Salim Abu Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):16-20.
    Abstract : Background: Vegetable agriculture is very important to human continued existence and remains a key driver of many economies worldwide, especially in underdeveloped and developing economies. Objectives: There is an increasing demand for food and cash crops, due to the increasing in world population and the challenges enforced by climate modifications, there is an urgent need to increase plant production while reducing costs. Methods: In this paper, Lemon classification approach is presented with a dataset that contains approximately 2,000 images (...)
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  10. Modelling Deep Indeterminacy.George Darby & Martin Pickup - 2019 - Synthese:1-26.
    This paper constructs a model of metaphysical indeterminacy that can accommodate a kind of ‘deep’ worldly indeterminacy that arguably arises in quantum mechanics via the Kochen-Specker theorem, and that is incompatible with prominent theories of metaphysical indeterminacy such as that in Barnes and Williams (2011). We construct a variant of Barnes and Williams's theory that avoids this problem. Our version builds on situation semantics and uses incomplete, local situations rather than possible worlds to build a model. We evaluate the (...)
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  11. Analyzing Types of Cherry Using Deep Learning.Izzeddin A. Alshawwa, Hosni Qasim El-Mashharawi, Mohammed Elkahlout, Mohammed O. Al-Shawwa & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 4 (1):1-5.
    A cherry is the fruit of many plants of the genus Prunus, and is a fleshy drupe (stone fruit), Michigan's Northwest Lower Peninsula is the largest producer of tart cherries in the United States. In fact, grow 75% of the country's variety of mighty Montmorency cherries. We use these Ruby Red Morsels of Joy in over 200 cherry products like Salsas, Chocolate Covered Cherries, Cherry Nut Mixes, and much more. Cherry fruits are rich in vitamins and minerals, and it is (...)
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  12. Classification of Apple Fruits by Deep Learning.Mohammed O. Al-Shawwa & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):1-7.
    Abstract: Apple is a plant species that follows the apple genus, which is a fruit because it contains seeds of the pink family. It is one of the most fruit trees in terms of agriculture. The apple tree is small in length from 3 to 12 meters. Several recent studies have shown many health benefits of apples. It helps with the strengthening of the brain, heart, and stomach. It is used in the treatment of joint pain and limberness. It is (...)
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  13. Peach Type Classification Using Deep Learning.Mohammed I. El-Kahlout & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):35-40.
    Abstract: Peach, (Prunus persica), fruit tree of the rose family (Rosaceae), grown throughout the warmer temperate regions of both the Northern and Southern hemispheres. Peaches are widely eaten fresh and are also baked in pies and cobblers; canned peaches are a staple commodity in many regions. Yellow-fleshed varieties are especially rich in vitamin A. Peach trees are relatively short-lived as compared with some other fruit trees. In some regions orchards are replanted after 8 to 10 years, while in others trees (...)
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  14. The Phenomenology of Deep Brain Stimulation-Induced Changes in Obsessive-Compulsive Disorder Patients: An Enactive Affordance-Based Model.Sanneke de Haan, Erik Rietveld, Martin Stokhof & Damiaan Denys - 2013 - Frontiers in Human Neuroscience 7:1-14.
    People suffering from Obsessive-Compulsive Disorder (OCD) do things they do not want to do, and/or they think things they do not want to think. In about 10 percent of OCD patients, none of the available treatment options is effective. A small group of these patients is currently being treated with deep brain stimulation (DBS). Deep brain stimulation involves the implantation of electrodes in the brain. These electrodes give a continuous electrical pulse to the brain area in which they (...)
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  15. Some Ethics of Deep Brain Stimulation.Joshua August Skorburg & Walter Sinnott Armstrong - 2020 - In Dan Stein & Ilina Singh (eds.), Global Mental Health and Neuroethics. London, UK: pp. 117-132.
    Case reports about patients undergoing Deep Brain Stimulation (DBS) for various motor and psychiatric disorders - including Parkinson’s Disease, Obsessive Compulsive Disorder, and Treatment Resistant Depression - have sparked a vast literature in neuroethics. Questions about whether and how DBS changes the self have been at the fore. The present chapter brings these neuroethical debates into conversation with recent research in moral psychology. We begin in Section 1 by reviewing the recent clinical literature on DBS. In Section 2, we (...)
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  16. Arrogance and Deep Disagreement.Andrew Aberdein - forthcoming - In Alessandra Tanesini & Michael Lynch (eds.), Polarisation, Arrogance, and Dogmatism: Philosophical Perspectives. London: Routledge. pp. 39-52.
    I intend to bring recent work applying virtue theory to the study of argument to bear on a much older problem, that of disagreements that resist rational resolution, sometimes termed "deep disagreements". Just as some virtue epistemologists have lately shifted focus onto epistemic vices, I shall argue that a renewed focus on the vices of argument can help to illuminate deep disagreements. In particular, I address the role of arrogance, both as a factor in the diagnosis of (...) disagreements and as an obstacle to their mutually acceptable resolution. Arrogant arguers are likely to make any disagreements to which they are party seem deeper than they really are and arrogance impedes the strategies that we might adopt to resolve deep disagreements. As a case in point, since arrogant or otherwise vicious arguers cannot be trusted not to exploit such strategies for untoward ends, any policy for deep disagreement amelioration must require particularly close attention to the vices of argument, lest they be exploited by the unscrupulous. (shrink)
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  17. Effects of Deep Brain Stimulation on the Lived Experience of Obsessive-Compulsive Disorder Patients.Sanneke de Haan, Erik Rietveld, Martin Stokhof & Damiaan Denys - 2015 - PLoS ONE 10 (8):1-29.
    Deep Brain Stimulation (DBS) is a relatively new, experimental treatment for patients suffering from treatment-refractory Obsessive Compulsive Disorder (OCD). The effects of treatment are typically assessed with psychopathological scales that measure the amount of symptoms. However, clinical experience indicates that the effects of DBS are not limited to symptoms only: patients for instance report changes in perception, feeling stronger and more confident, and doing things unreflectively. Our aim is to get a better overview of the whole variety of changes (...)
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  18. Deep Brain Stimulation, Authenticity and Value.Pugh Jonathan, Maslen Hannah & Savulescu Julian - 2017 - Cambridge Quarterly of Healthcare Ethics 26 (4):640-657.
    Deep brain stimulation has been of considerable interest to bioethicists, in large part because of the effects that the intervention can occasionally have on central features of the recipient’s personality. These effects raise questions regarding the philosophical concept of authenticity. In this article, we expand on our earlier work on the concept of authenticity in the context of deep brain stimulation by developing a diachronic, value-based account of authenticity. Our account draws on both existentialist and essentialist approaches to (...)
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  19. The Eight Points - A Reinterpretation of Deep Ecology.Simon Butler - manuscript
    Naess and Sessions “Deep Ecology Platform” provided a loose framework for a movement that was gaining momentum after a series of successful social and political actions and events throughout the 1970s and early 1980s. Most of the points are essentially adopted from Naess’ earlier work, which provided the basis for a number of the core concepts expressed in the later eight points and is largely an expression of a movement that sought to create a shift in consciousness of society (...)
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  20.  79
    The Self in Deep Ecology: A Response to Watson.Joshua Anderson - 2020 - Asian Philosophy 30 (1):30-39.
    Richard Watson maintains that deep ecology suffers from an internal contradiction and should therefore be rejected. Watson contends that deep ecology claims to be non-anthropocentric while at the same time is committed to setting humans apart from nature, which is inherently anthropocentric. I argue that Watson’s objection arises out of a fundamental misunderstanding of how deep ecologist’s conceive of the ‘Self.’ Drawing on resources from Buddhism, I offer an understanding of the ‘Self’ that is fully consistent with (...)
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  21. Courageous Arguments and Deep Disagreements.Andrew Aberdein - forthcoming - Topoi:1-8.
    Deep disagreements are characteristically resistant to rational resolution. This paper explores the contribution a virtue theoretic approach to argumentation can make towards settling the practical matter of what to do when confronted with apparent deep disagreement, with particular attention to the virtue of courage.
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  22. Dialecticality and Deep Disagreement.Scott F. Aikin - 2018 - Symposion: Theoretical and Applied Inquiries in Philosophy and Social Sciences 5 (2):173-179.
    In this paper, I will argue for a complex of three theses. First, that the problem of deep disagreement is an instance of the regress problem of justification. Second, that the problem of deep disagreement, as a regress problem, depends on a dialecticality requirement for arguments. Third, that the dialecticality requirement is plausible and defensible.
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  23. Surface and Deep Interpretation.Peg Brand & Myles Brand - 2012 - In Mark Rollins (ed.), Danto and His Critics, 2nd Edition. Wiley-Blackwell. pp. 69-83.
    Arthur C. Danto proposes a complex and controversial relationship between surface and deep interpretations in The Philosophical Disenfranchisement of Art (1986). We detail the analogy between understanding human actions and interpreting works of art that both develops a motivation for Danto's view and clarifies it. We object to the most plausible version of content dependency among surface and deep interpretations and in so doing, we also clarify the way in which an interpretation is constitutive of an artwork.
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  24. The Moral Obligation to Prioritize Research Into Deep Brain Stimulation Over Brain Lesioning Procedures for Severe Enduring Anorexia Nervosa.Jonathan Pugh, Jacinta Tan, Tipu Aziz & Rebecca J. Park - forthcoming - Frontiers in Psychiatry 9:523.
    Deep Brain Stimulation is currently being investigated as an experimental treatment for patients suffering from treatment-refractory AN, with an increasing number of case reports and small-scale trials published. Although still at an exploratory and experimental stage, initial results have been promising. Despite the risks associated with an invasive neurosurgical procedure and the long-term implantation of a foreign body, DBS has a number of advantageous features for patients with SE-AN. Stimulation can be fine-tuned to the specific needs of the particular (...)
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  25.  15
    Grape Type Classification Using Deep Learning.Hosni Qasim El-Mashharawi, Samy S. Abu-Naser, Izzeddin A. Alshawwa & Mohammed Elkahlout - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):41-45.
    Abstract: A grape is a fruit, botanically a berry, of the deciduous woody vines of the flowering plant genus Vitis. it can be eaten fresh or they can be used for making jam, grape juice, jelly, grape seed extract, raisins, and grape seed oil. Grapes are a nonclimacteric type of fruit, generally occurring in clusters. Grapes are a type of fruit that grow in clusters of 15 to 300, and can be crimson, black, dark blue, yellow, green, orange, and pink. (...)
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  26. Outsourcing the Deep Self: Deep Self Discordance Does Not Explain Away Intuitions in Manipulation Arguments.Gunnar Björnsson - 2016 - Philosophical Psychology 29 (5):637-653.
    According to manipulation arguments for incompatibilism, manipulation might undermine an agent’s responsibility even when the agent satisfies plausible compatibilist conditions on responsibility. According to Sripada, however, empirical data suggest that people take manipulation to undermine responsibility largely because they think that the manipulated act is in discord with the agent’s “deep self,” thus violating the plausible compatibilist condition of deep self concordance. This paper defends Sripada’s general methodological approach but presents data that strongly suggest that, contrary to Sripada’s (...)
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  27. Testing Sripada's Deep Self Model.Florian Cova & Hichem Naar - 2012 - Philosophical Psychology 25 (5):647 - 659.
    Sripada has recently advanced a new account for asymmetries that have been uncovered in folk judgments of intentionality: the ?Deep Self model,? according to which an action is more likely to be judged as intentional if it matches the agent's central and stable attitudes and values (i.e., the agent's Deep Self). In this paper, we present new experiments that challenge this model in two ways: first, we show that the Deep Self model makes predictions that are falsified, (...)
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  28.  45
    Grape Type Classification Using Deep Learning.Hosni Qasim El-Mashharawi, Samy S. Abu-Naser, Izzeddin A. Alshawwa & Mohammed Elkahlout - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):41-45.
    Abstract: A grape is a fruit, botanically a berry, of the deciduous woody vines of the flowering plant genus Vitis. it can be eaten fresh or they can be used for making jam, grape juice, jelly, grape seed extract, raisins, and grape seed oil. Grapes are a nonclimacteric type of fruit, generally occurring in clusters. Grapes are a type of fruit that grow in clusters of 15 to 300, and can be crimson, black, dark blue, yellow, green, orange, and pink. (...)
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  29. Deep Brain Stimulation and Revising the Mental Health Act: The Case for Intervention-Specific Safeguards.Jonathan Pugh, Tipu Aziz, Jonathan Herring & Julian Savulescu - forthcoming - British Journal of Psychiatry.
    Under the current Mental Health Act of England and Wales, it is lawful to perform deep brain stimulation in the absence of consent and independent approval. We argue against the Care Quality Commission's preferred strategy of addressing this problematic issue, and offer recommendations for deep brain stimulation-specific provisions in a revised Mental Health Act.
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  30.  76
    Deep Brain Stimulation, Authenticity and Value.Sven Nyholm & Elizabeth O’Neill - 2017 - Cambridge Quarterly of Healthcare Ethics 26 (4):658-670.
    In this paper, we engage in dialogue with Jonathan Pugh, Hannah Maslen, and Julian Savulescu about how to best interpret the potential impacts of deep brain stimulation on the self. We consider whether ordinary people’s convictions about the true self should be interpreted in essentialist or existentialist ways. Like Pugh et al., we argue that it is useful to understand the notion of the true self as having both essentialist and existentialist components. We also consider two ideas from existentialist (...)
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  31. The Methodological Usefulness of Deep Disagreement.Steven W. Patterson - 2015 - Cogency: Journal of Reasoning and Argumentation 6 (2).
    In this paper I begin by examining Fogelin’s account of deep disagreement. My contention is that this account is so deeply flawed as to cast doubt on the possibility that such deep disagreements actually happen. Nevertheless, I contend that the notion of deep disagreement itself is a useful theoretical foil for thinking about argumentation. The second part of this paper makes this case by showing how thinking about deep disagreements from the perspective of rhetoric, Walton-style argumentation (...)
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  32.  96
    AISC 17 Talk: The Explanatory Problems of Deep Learning in Artificial Intelligence and Computational Cognitive Science: Two Possible Research Agendas.Antonio Lieto - 2018 - In Proceedings of AISC 2017.
    Endowing artificial systems with explanatory capacities about the reasons guiding their decisions, represents a crucial challenge and research objective in the current fields of Artificial Intelligence (AI) and Computational Cognitive Science [Langley et al., 2017]. Current mainstream AI systems, in fact, despite the enormous progresses reached in specific tasks, mostly fail to provide a transparent account of the reasons determining their behavior (both in cases of a successful or unsuccessful output). This is due to the fact that the classical problem (...)
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  33.  80
    Deep Ecology, the Radical Enlightment, and Ecological Civilization.Arran Gare - 2014 - The Trumpeter 30 (2):184-205.
    With the early success of the deep ecology movement in attracting adherents and with the increasing threat of a global ecological catastrophe, one would have expected this movement to have triumphed. We should be in the process of radically transforming society to create a harmonious relationship between humans and the rest of nature. Instead, deep ecology has been marginalized. What has triumphed instead is an alliance of managerialism, transnational corporations and neo-liberalism committed to replacing communities with markets and (...)
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  34. Stimulating Good Practice - What an Embodied Cognition Approach Could Mean for Deep Brain Stimulation Practice.Sanneke de Haan, Erik Rietveld & Damiaan Denys - 2014 - American Journal of Bioethics Neuroscience 5 (4).
    We whole-heartedly agree with Mecacci and Haselager(2014) on the need to investigate the psychosocial effects of deep brain stimulation (DBS), and particularly to find out how to prevent adverse psychosocial effects. We also agree with the authors on the value of an embodied, embedded, enactive approach (EEC) to the self and the mind–brain problem. However, we do not think this value primarily lies in dissolving a so-called “maladaptation” of patients to their DBS device. In this comment, we challenge three (...)
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  35.  35
    Is Deep Ecology Inapplicable in African Context: A Conversation with Fainos Mangena.Diana-Abasi Ibanga - 2017 - Filosofia Theoretica: Journal of African Philosophy, Culture and Religions 6 (2):101-119.
    In 2015, Fainos Mangena published an essay entitled “How Applicable is the Idea of Deep Ecology in the African Context?” where he presented a number of arguments to support his thesis that deep ecology as discussed in the West has no place in the African context. Mangena later presented a counter-version of deep ecology that he claims is based on African philosophy. In this paper, I interrogated Mangena’s arguments for rejecting deep ecology and found that they (...)
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  36.  95
    Deep Disagreements on Social and Political Justice: Their Meta-Ethical Relevance and the Need for a New Research Perspective.Manuel Dr Knoll - 2019 - In Manuel Dr Knoll, Stephen Snyder & Nurdane Şimşek (eds.), New Perspectives on Distributive Justice. Deep Disagreements, Pluralism, and the Problem of Consensus. Berlin/Boston: De Gruyter. pp. 23-51.
    This article starts off with a historical section showing that deep disagreements among notions of social and political justice are a characteristic feature of the history of political thought. Since no agreement or consensus on distributive justice is possible, the article argues that political philosophers should – instead of continuously proposing new normative theories of justice – focus on analyzing the reasons, significance, and consequences of such kinds of disagreements. The next two sections are analytical. The first sketches five (...)
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  37. Apple Fruits Classification Using Deep Learning.Shawwa Mohammad - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):1-6.
    Apple is a plant species that follows the apple genus, which is a fruit because it contains seeds of the pink family. It is one of the most fruit trees in terms of agriculture. The apple tree is small in length from 3 to 12 meters. Several recent studies have shown many health benefits of apples. It helps with the strengthening of the brain, heart, and stomach. It is used in the treatment of joint pain and limberness. It is opposite. (...)
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  38.  84
    Deep Learning Classification of Peach Fruits.AlKahlout Mohammad - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):35-40.
    Peach, (Prunus persica), fruit tree of the rose family (Rosaceae), grown throughout the warmer temperate regions of both the Northern and Southern hemispheres. Peaches are widely eaten fresh and are also baked in pies and cobblers; canned peaches are a staple commodity in many regions. Yellow-fleshed varieties are especially rich in vitamin A. Peach trees are relatively short-lived as compared with some other fruit trees. In some regions orchards are replanted after 8 to 10 years, while in others trees may (...)
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  39. Potato Classification Using Deep Learning.Abeer A. Elsharif, Ibtesam M. Dheir, Alaa Soliman Abu Mettleq & Samy S. Abu-Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):1-8.
    Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and benefit human health. They are an important staple food in many countries around the world. There are an estimated 200 varieties of (...)
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  40.  22
    Menschengestützte Künstliche Intelligenz: Über die soziotechnischen Voraussetzungen von "deep learning".Rainer Mühlhoff - 2019 - Zeitschrift Für Medienwissenschaft (ZfM) 21 (2):56–64.
    Die aktuellen Erfolge von Künstlicher Intelligenz beruhen nicht nur auf technologischen Fortschritten, sondern auch auf einem grundlegenden soziotechnischen Strukturwandel. Denn maschinelle Lernverfahren wie Deep Learning benötigen eine große Menge Trainingsdaten, die nur über menschliche Mitarbeit gewonnen werden können. In einer Konvergenz von Methoden der Human-Computer-Interaction und der KI ist in den letzten zehn Jahren eine Fülle von Mensch-Maschine-Interfaces und medialen Infrastrukturen entstanden, durch die menschliche kognitive Ressourcen in hybride Mensch-Maschine-Apparate eingespannt werden. Diese Apparate vollbringen im Ganzen jene Leistung, die (...)
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  41.  88
    Deep Uncertainties in the Criteria for Physician Aid-in-Dying for Psychiatric Patients.Piotr Grzegorz Nowak & Tomasz Żuradzki - 2019 - American Journal of Bioethics 19 (10):54-56.
    In their insightful article, Brent Kious and Margaret Battin (2019) correctly identify an inconsistency between an involuntary psychiatric commitment for suicide prevention and physician aid in dying (PAD). They declare that it may be possible to resolve the problem by articulating “objective standards for evaluating the severity of others’ suffering,” but ultimately they admit that this task is beyond the scope of their article since the solution depends on “a deep and difficult” question about comparing the worseness of two (...)
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  42. Handwritten Signature Verification Using Deep Learning.Eman Alajrami, Belal A. M. Ashqar, Bassem S. Abu-Nasser, Ahmed J. Khalil, Musleh M. Musleh, Alaa M. Barhoom & Samy S. Abu-Naser - 2020 - International Journal of Academic Multidisciplinary Research (IJAMR) 3 (12):39-44.
    Every person has his/her own unique signature that is used mainly for the purposes of personal identification and verification of important documents or legal transactions. There are two kinds of signature verification: static and dynamic. Static(off-line) verification is the process of verifying an electronic or document signature after it has been made, while dynamic(on-line) verification takes place as a person creates his/her signature on a digital tablet or a similar device. Offline signature verification is not efficient and slow for a (...)
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  43. Deep Epistemic Vices.Ian James Kidd - 2018 - Journal of Philosophical Research 43:43-67..
    Although the discipline of vice epistemology is only a decade old, the broader project of studying epistemic vices and failings is much older. This paper argues that contemporary vice epistemologists ought to engage more closely with these earlier projects. After sketching some general arguments in section one, I then turn to deep epistemic vices: ones whose identity and intelligibility depends on some underlying conception of human nature or the nature of reality. The final section then offers a case study (...)
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  44. ‘Do Not Block the Way of Inquiry’: Cultivating Collective Doubt Through Sustained Deep Reflective Thinking.Gilbert Burgh, Simone Thornton & Liz Fynes-Clinton - 2018 - In Ellen Duthie, Félix García Moriyón & Rafael Robles Loro (eds.), Parecidos de familia. Propuestas actuales en Filosofía para Niños / Family Resemblances: Current trends in philosophy for children. Madrid, Spain: pp. 47-61.
    We provide a Camusian/Peircean notion of inquiry that emphasises an attitude of fallibilism and sustained epistemic dissonance as a conceptual framework for a theory of classroom practice founded on Deep Reflective Thinking (DTR), in which the cultivation of collective doubt, reflective evaluation and how these relate to the phenomenological aspects of inquiry are central to communities of inquiry. In a study by Fynes-Clinton, preliminary evidence demonstrates that if students engage in DRT, they more frequently experience cognitive dissonance and as (...)
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  45. Structuring Decisions Under Deep Uncertainty.Casey Helgeson - 2020 - Topoi 39 (2):257-269.
    Innovative research on decision making under ‘deep uncertainty’ is underway in applied fields such as engineering and operational research, largely outside the view of normative theorists grounded in decision theory. Applied methods and tools for decision support under deep uncertainty go beyond standard decision theory in the attention that they give to the structuring of decisions. Decision structuring is an important part of a broader philosophy of managing uncertainty in decision making, and normative decision theorists can both learn (...)
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  46. Political Liberalism and Public Justification: The Deep View.Thomas M. Besch - manuscript
    (Please note: the main ideas of this paper are restated in revised/developed form in: "On actualist and fundamental public justification in political liberalism" and "More on actualist and fundamental public justification in political liberalism". Both papers are available from philpapers.) The paper suggests the deep view of Rawls-type public justification as promising, non-ideal theory variant of an internal conception of political liberalism. To this end, I demonstrate how the deep view integrates a range of ideas, views and commitments (...)
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  47. Does Belief in Dualism Protect Against Maladaptive Psycho-Social Responses to Deep Brain Stimulation? An Empirical Exploration.Jason Shepard & Joshua May - 2014 - American Journal of Bioethics Neuroscience 5 (4):40–42.
    We provide empirical evidence that people who believe in dualism are more likely to be uncomfortable with Deep Brain Stimulation (DBS) and to view it as threatening to their identity, humanity, or self. It is (neurocentric) materialists—who think the mind just is the brain—that are less inclined to fear DBS or to see it as threatening. We suggest various possible reasons for this connection. The inspiration for this brief report is a target article that addresses this issue from a (...)
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  48. The Deep Structure of Lives.Michael Kubovy - 2015 - Philosophia Scientiæ 19:153-176.
    La psychologie a toujours traité le comportement et l’expérience comme étant enchâssés dans un flux temporel unidimensionnel, « le courant du comportement » dans lequel les événements et les actions occupent des intervalles de temps qui ne se chevauchent pas. Pourtant, une analyse phénoménologique révèle que la structure de nos vies est bien plus riche et intéressante. En utilisant la notion de « quasidécomposabilité » de Herbert Simon, je décris cette structure comme un assemblage d’épisodes quasi-indépendants se réalisant de façon (...)
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  49.  90
    On Charles Taylor's 'Deep Diversity'.Charles Blattberg - forthcoming - In Ursula Lehmkuhl & Elisabeth Tutschek (eds.), 150 Years of Canada: Grappling with Diversity Since 1867. Münster, Germany: Waxmann Verlag GmbH.
    Charles Taylor’s idea of “deep diversity” has played a major role in the debates around multiculturalism in Canada and around the world. Originally, the idea was meant to account for how the different national communities within Canada – those of the English-speaking Canadians, the French-speaking Quebeckers, and the Aboriginals – conceive of their belonging to the country in different ways. But Taylor conceives of these differences strictly in terms of irreducibility; that is, he fails to see that they also (...)
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  50. Deliberation Across Deep Divisions. Transformative Moments.Jürg Steiner Maria Clara Jaramillo, Rousiley C. M. Maia, Simona Mameli - 2006 - Belgrade Philosophical Annual 29 (1):157-178.
    In group discussions of any kind there tends to be an up and down in the level of deliberation. To capture this dynamic we coined the concept of Deliberative Transformative Moments (DTM). In deeply divided societies deliberation is particularly important in order to arrive at peace and stability, but deliberation is also very difficult to be attained. Therefore, we wanted to learn about the conditions that in group discussions across the deep divisions of such societies help deliberation. We organized (...)
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